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# Data Engineer (AWS Databricks)

- **Company:** HMG America
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Information Engineering, Data Infrastructure, Unstructured Data, Data Ingestion, Data Lakes, Virtual Agents, Data Pipelines, Databricks
- **Published:** August 27, 2026
- **Apply:** https://www.dice.com/job-detail/e191bace-c89c-4d6b-b934-5b3a0a934b26

## About the Role

AWS Services - Hands-on expertise across core AWS services spanning compute, storage, orchestration, and security in production environments.

Databricks Platform - Deep proficiency in Databricks, including Delta Lake, Unity Catalog, cluster management, and job orchestration at scale.

Data Engineering Lifecycle - Proven ability to design and operate ingestion, transformation, and warehousing pipelines across structured and unstructured data.

GOOD-TO-HAVE SKILLS

Agentic AI Exposure - Working understanding of agentic AI concepts and frameworks, and how they apply within modern data platforms.

Manufacturing Industry Knowledge - Familiarity with manufacturing industry data landscapes, processes, and common use cases.

Data Modelling - Understanding of data modelling principles, including dimensional and canonical modelling approaches.

## Description

We are looking for a Senior Data Engineer to own the design and delivery of modern data platforms built on AWS and Databricks. This role combines deep hands-on engineering, covering data ingestion, transformation, and warehousing across structured and unstructured sources., * Deliver end-to-end data engineering solutions on AWS and Databricks, spanning ingestion, transformation, and warehousing layers.

 * Design scalable pipelines for structured and unstructured data, balancing reliability, performance, and cost efficiency.
 * Partner with architects and business stakeholders to translate requirements into robust, production-ready designs.
 * Establish and maintain standards for data quality, governance, and platform scalability.


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